{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 第 5 章 泰坦尼克幸存者预测"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.1 处理数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导入几个基本库\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.dpi'] = 180"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113803</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>C123</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PassengerId  Survived  Pclass  \\\n",
       "0            1         0       3   \n",
       "1            2         1       1   \n",
       "2            3         1       3   \n",
       "3            4         1       1   \n",
       "4            5         0       3   \n",
       "\n",
       "                                                Name     Sex   Age  SibSp  \\\n",
       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
       "\n",
       "   Parch            Ticket     Fare Cabin Embarked  \n",
       "0      0         A/5 21171   7.2500   NaN        S  \n",
       "1      0          PC 17599  71.2833   C85        C  \n",
       "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
       "3      0            113803  53.1000  C123        S  \n",
       "4      0            373450   8.0500   NaN        S  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/titanic/train.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.3838383838383838"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Survived'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Fare</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pclass</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>461.597222</td>\n",
       "      <td>0.629630</td>\n",
       "      <td>38.233441</td>\n",
       "      <td>0.416667</td>\n",
       "      <td>0.356481</td>\n",
       "      <td>84.154687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>445.956522</td>\n",
       "      <td>0.472826</td>\n",
       "      <td>29.877630</td>\n",
       "      <td>0.402174</td>\n",
       "      <td>0.380435</td>\n",
       "      <td>20.662183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>439.154786</td>\n",
       "      <td>0.242363</td>\n",
       "      <td>25.140620</td>\n",
       "      <td>0.615071</td>\n",
       "      <td>0.393075</td>\n",
       "      <td>13.675550</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        PassengerId  Survived        Age     SibSp     Parch       Fare\n",
       "Pclass                                                                 \n",
       "1        461.597222  0.629630  38.233441  0.416667  0.356481  84.154687\n",
       "2        445.956522  0.472826  29.877630  0.402174  0.380435  20.662183\n",
       "3        439.154786  0.242363  25.140620  0.615071  0.393075  13.675550"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calss_grouping = df.groupby('Pclass').mean()\n",
    "calss_grouping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Pclass,Sex'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "class_sex_grouping = df.groupby(['Pclass','Sex']).mean()\n",
    "class_sex_grouping['Survived'].plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Age'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "group_by_age = pd.cut(df[\"Age\"], np.arange(0, 90, 10))\n",
    "age_grouping = df.groupby(group_by_age).mean()\n",
    "age_grouping['Survived'].plot.bar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocess_dataset(data_frame):\n",
    "    # 先复制产生一个新的数据集，这样我们的原始数据集不会被修改\n",
    "    data_frame = data_frame.copy()\n",
    "\n",
    "    # 丢弃缺失年龄，性别和登船口岸信息的数据\n",
    "    data_frame = data_frame.dropna(subset=['Age', 'Sex', 'Embarked', 'Fare'])\n",
    "\n",
    "    # 把性别从 male, female 转换成 0 和 1\n",
    "    data_frame.Sex = data_frame.Sex.replace(['male', 'female'], value=[0, 1])\n",
    "\n",
    "    # 把登船口岸从 S, C, Q 转换成 0, 1, 2\n",
    "    data_frame.Embarked = data_frame.Embarked.replace(['S', 'C', 'Q'], value=[0, 1, 2])\n",
    "\n",
    "    # 丢弃我们不需要的字段\n",
    "    data_frame = data_frame.drop(columns=['Name', 'Ticket', 'Cabin', 'PassengerId'])\n",
    "    return data_frame\n",
    "\n",
    "train_data = preprocess_dataset(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_labels = train_data.pop('Survived')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.2 定义模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow.keras as keras\n",
    "\n",
    "# 使用 L 代表 keras.layers ，方便后续调用\n",
    "L = keras.layers\n",
    "\n",
    "model = keras.Sequential([\n",
    "    # 添加一个包含 24 个神经元的全连接层，输入维度为 7，输出维度 12\n",
    "    L.Dense(24, input_dim=7, activation='relu', name='input_layer'),\n",
    "    # 添加一个包含 12 个神经元的全连接层，上层的输出为本层的输入\n",
    "    L.Dense(12, activation='relu', name='hidden_layer'),\n",
    "    # 添加一个包含 1 个神经元的全连接层，使用 sigmoid 函数来确保网络输出在 0 和 1 之间\n",
    "    L.Dense(1, activation='sigmoid', name='output_layer')\n",
    "])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.3 编译模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_1\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_layer (Dense)          (None, 24)                192       \n",
      "_________________________________________________________________\n",
      "hidden_layer (Dense)         (None, 12)                300       \n",
      "_________________________________________________________________\n",
      "output_layer (Dense)         (None, 1)                 13        \n",
      "=================================================================\n",
      "Total params: 505\n",
      "Trainable params: 505\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def build_model() -> keras.Sequential:\n",
    "    model = keras.Sequential([\n",
    "        # 添加一个包含 24 个神经元的全连接层，输入维度为 7，输出维度 12\n",
    "        L.Dense(24, input_dim=7, activation='relu', name='input_layer'),\n",
    "        # 添加一个包含 12 个神经元的全连接层，上层的输出为本层的输入\n",
    "        L.Dense(12, activation='relu', name='hidden_layer'),\n",
    "        # 添加一个包含 1 个神经元的全连接层，使用 sigmoid 函数来确保网络输出在 0 和 1 之间\n",
    "        L.Dense(1, activation='sigmoid', name='output_layer')\n",
    "    ])\n",
    "    model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
    "    return model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.4 训练模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "23/23 [==============================] - 0s 968us/step - loss: 3.1909 - accuracy: 0.5857\n",
      "Epoch 2/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.8505 - accuracy: 0.5492\n",
      "Epoch 3/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.6562 - accuracy: 0.6882\n",
      "Epoch 4/20\n",
      "23/23 [==============================] - 0s 2ms/step - loss: 0.6511 - accuracy: 0.6910\n",
      "Epoch 5/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.6197 - accuracy: 0.6840\n",
      "Epoch 6/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.6097 - accuracy: 0.7037\n",
      "Epoch 7/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.6026 - accuracy: 0.6896\n",
      "Epoch 8/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5910 - accuracy: 0.7163\n",
      "Epoch 9/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5857 - accuracy: 0.7135\n",
      "Epoch 10/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5744 - accuracy: 0.7093\n",
      "Epoch 11/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5751 - accuracy: 0.7191\n",
      "Epoch 12/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5676 - accuracy: 0.7317\n",
      "Epoch 13/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5620 - accuracy: 0.7233\n",
      "Epoch 14/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5640 - accuracy: 0.7233\n",
      "Epoch 15/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5494 - accuracy: 0.7303\n",
      "Epoch 16/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5452 - accuracy: 0.7402\n",
      "Epoch 17/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5333 - accuracy: 0.7697\n",
      "Epoch 18/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5514 - accuracy: 0.7500\n",
      "Epoch 19/20\n",
      "23/23 [==============================] - 0s 972us/step - loss: 0.5381 - accuracy: 0.7430\n",
      "Epoch 20/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5307 - accuracy: 0.7472\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.keras.callbacks.History at 0x11e698f60>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(train_data.values, train_labels.values, epochs=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.5 评估模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train: [3 4 5 6 7 8], test: [0 1 2]\n",
      "train: [0 1 2 6 7 8], test: [3 4 5]\n",
      "train: [0 1 2 3 4 5], test: [6 7 8]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import KFold\n",
    "\n",
    "data_set = [1,2,3,4,5,6,7,8,9]\n",
    "\n",
    "# 初始化一个 KFold 对象，n_splits 表示分区数量。\n",
    "kfold = KFold(n_splits=3)\n",
    "\n",
    "for train, test in kfold.split(data_set, None):\n",
    "    print(f'train: {train}, test: {test}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5/5 [==============================] - 0s 1ms/step - loss: 0.6338 - accuracy: 0.6853\n",
      "5/5 [==============================] - 0s 1ms/step - loss: 0.5497 - accuracy: 0.7762\n",
      "5/5 [==============================] - 0s 1ms/step - loss: 0.5070 - accuracy: 0.7465\n",
      "5/5 [==============================] - 0s 1ms/step - loss: 0.4882 - accuracy: 0.7676\n",
      "5/5 [==============================] - 0s 1ms/step - loss: 0.4386 - accuracy: 0.8028\n",
      "[0.6853147149085999, 0.7762237787246704, 0.7464788556098938, 0.7676056623458862, 0.8028169274330139]\n"
     ]
    }
   ],
   "source": [
    "# 处理原始数据集\n",
    "train_data = preprocess_dataset(df)\n",
    "\n",
    "# 保存准确率列表和模型训练记录的数组\n",
    "accuracy_list = []\n",
    "history_list = []\n",
    "\n",
    "# 这里我们把数据分成五个分区\n",
    "kfold = KFold(n_splits=5)\n",
    "\n",
    "for train_index, test_index in kfold.split(train_data, None):\n",
    "\n",
    "    # 使用数据索引获取训练和测试数据\n",
    "    # 注意这里使用 `copy` 方法是因为我们会对这个数据进行编辑\n",
    "    # 使用 copy 后不会修改原始数据\n",
    "    train = train_data.iloc[train_index].copy()\n",
    "    test =  train_data.iloc[test_index].copy()\n",
    "\n",
    "    train_label = train.pop('Survived')\n",
    "    test_label = test.pop('Survived')\n",
    "\n",
    "    # 获取新的模型\n",
    "    model = build_model()\n",
    "    # 训练数据并获取训练记录\n",
    "    # validation_split 表示我们随机取 20% 的数据用于验证，剩余数据用于训练\n",
    "    history = model.fit(train.values,\n",
    "                        train_label.values,\n",
    "                        validation_split=0.2,\n",
    "                        verbose=0,\n",
    "                        epochs=100)\n",
    "\n",
    "    # 使用测试集测试模型\n",
    "    loss, accuracy = model.evaluate(test.values, test_label.values)\n",
    "    accuracy_list.append(accuracy)\n",
    "    history_list.append(history)\n",
    "\n",
    "print(accuracy_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1080x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x1620 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "# 设定子图大小\n",
    "plt.subplots(figsize=(10,9))\n",
    "for index, his in enumerate(history_list):\n",
    "    plt.subplot(3, 2, index + 1)\n",
    "    plt.plot(his.history['accuracy'], label='accuracy')\n",
    "    plt.plot(his.history['val_accuracy'], label='val_accuracy')\n",
    "    plt.legend()\n",
    "    plt.title(f'k split {index}') # 添加图形标题\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.7 预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 读取测试数据\n",
    "raw_test_df = pd.read_csv('data/titanic/test.csv')\n",
    "# 处理测试数据集，训练数据和测试数据特征要用同样的处理方法\n",
    "# 这样才能获取正确的预测结果\n",
    "test_df = preprocess_dataset(raw_test_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.31562606],\n",
       "       [0.650184  ],\n",
       "       [0.23816267],\n",
       "       [0.17616048],\n",
       "       [0.68269587],\n",
       "       [0.16920272],\n",
       "       [0.8321632 ],\n",
       "       [0.36193424],\n",
       "       [0.80100435],\n",
       "       [0.16603148]], dtype=float32)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.predict(test_df[:10].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From <ipython-input-25-dca1b7b2dd4e>:1: Sequential.predict_classes (from tensorflow.python.keras.engine.sequential) is deprecated and will be removed after 2021-01-01.\n",
      "Instructions for updating:\n",
      "Please use instead:* `np.argmax(model.predict(x), axis=-1)`,   if your model does multi-class classification   (e.g. if it uses a `softmax` last-layer activation).* `(model.predict(x) > 0.5).astype(\"int32\")`,   if your model does binary classification   (e.g. if it uses a `sigmoid` last-layer activation).\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[0],\n",
       "       [1],\n",
       "       [0],\n",
       "       [0],\n",
       "       [1],\n",
       "       [0],\n",
       "       [1],\n",
       "       [0],\n",
       "       [1],\n",
       "       [0]], dtype=int32)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.predict_classes(test_df[:10].values)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.6 代码汇总"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_12\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_layer (Dense)          (None, 12)                96        \n",
      "_________________________________________________________________\n",
      "hidden_layer (Dense)         (None, 6)                 78        \n",
      "_________________________________________________________________\n",
      "output_layer (Dense)         (None, 1)                 7         \n",
      "=================================================================\n",
      "Total params: 181\n",
      "Trainable params: 181\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "Epoch 1/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 2.9397 - accuracy: 0.3244\n",
      "Epoch 2/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 1.5001 - accuracy: 0.3539\n",
      "Epoch 3/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 1.0602 - accuracy: 0.4551\n",
      "Epoch 4/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.9361 - accuracy: 0.5435\n",
      "Epoch 5/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.8497 - accuracy: 0.5660\n",
      "Epoch 6/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.7894 - accuracy: 0.5997\n",
      "Epoch 7/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.7499 - accuracy: 0.5997\n",
      "Epoch 8/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.7196 - accuracy: 0.6320\n",
      "Epoch 9/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.6856 - accuracy: 0.6433\n",
      "Epoch 10/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.6578 - accuracy: 0.6517\n",
      "Epoch 11/20\n",
      "23/23 [==============================] - 0s 2ms/step - loss: 0.6389 - accuracy: 0.6826\n",
      "Epoch 12/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.6275 - accuracy: 0.6854\n",
      "Epoch 13/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.6156 - accuracy: 0.6924\n",
      "Epoch 14/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.6043 - accuracy: 0.7022\n",
      "Epoch 15/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5927 - accuracy: 0.7149\n",
      "Epoch 16/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5919 - accuracy: 0.7093\n",
      "Epoch 17/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5841 - accuracy: 0.7191\n",
      "Epoch 18/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5858 - accuracy: 0.7107\n",
      "Epoch 19/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5761 - accuracy: 0.7205\n",
      "Epoch 20/20\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5730 - accuracy: 0.7233\n",
      "23/23 [==============================] - 0s 1ms/step - loss: 0.5669 - accuracy: 0.7177\n",
      "loss: 0.5669479370117188, accuracy: 71.76966071128845%\n",
      "[[0]\n",
      " [0]\n",
      " [0]\n",
      " [0]\n",
      " [0]\n",
      " [0]\n",
      " [0]\n",
      " [0]\n",
      " [0]\n",
      " [0]]\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "# 定义数据处理方法\n",
    "def preprocess_dataset(data_frame):\n",
    "    # 先复制产生一个新的数据集，这样我们的原始数据集不会被修改\n",
    "    data_frame = data_frame.copy()\n",
    "\n",
    "    # 丢弃缺失年龄，性别和登船口岸信息的数据\n",
    "    data_frame = data_frame.dropna(subset=['Age', 'Sex', 'Embarked', 'Fare'])\n",
    "\n",
    "    # 把性别从 male, female 转换成 0 和 1\n",
    "    data_frame.Sex = data_frame.Sex.replace(['male', 'female'], value=[0, 1])\n",
    "\n",
    "    # 把登船口岸从 S, C, Q 转换成 0, 1, 2\n",
    "    data_frame.Embarked = data_frame.Embarked.replace(['S', 'C', 'Q'], value=[0, 1, 2])\n",
    "\n",
    "    # 丢弃我们不需要的字段\n",
    "    data_frame = data_frame.drop(columns=['Name', 'Ticket', 'Cabin', 'PassengerId'])\n",
    "    return data_frame\n",
    "\n",
    "# 读取和处理训练数据数据\n",
    "df = pd.read_csv('data/titanic/train.csv')\n",
    "train_df = preprocess_dataset(df)\n",
    "\n",
    "# 拆分特征和标签\n",
    "train_labels = train_df.pop('Survived')\n",
    "\n",
    "# 定义模型\n",
    "from tensorflow.python import keras\n",
    "\n",
    "# 使用 L 代表 keras.layers ，方便后续调用\n",
    "L = keras.layers\n",
    "\n",
    "model = keras.Sequential([\n",
    "    # 添加一个包含 12 个神经元的全连接层，输入维度为 7，输出维度 12\n",
    "    L.Dense(12, input_dim=7, activation='relu', name='input_layer'),\n",
    "    # 添加一个包含 6 个神经元的全连接层，上层的输出为本层的输入\n",
    "    L.Dense(6, activation='relu', name='hidden_layer'),\n",
    "    # 添加一个包含 1 个神经元的全连接层，使用 sigmoid 函数来确保网络输出在 0 和 1 之间\n",
    "    L.Dense(1, activation='sigmoid', name='output_layer')\n",
    "])\n",
    "\n",
    "# 编译模型\n",
    "model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n",
    "\n",
    "# 输出模型概述\n",
    "model.summary()\n",
    "\n",
    "# 训练模型\n",
    "model.fit(train_df, train_labels, epochs=20)\n",
    "\n",
    "# 评估模型\n",
    "score = model.evaluate(train_df, train_labels)\n",
    "print(f\"loss: {score[0]}, accuracy: {score[1]*100}%\")\n",
    "\n",
    "# 读取和准备测试数据\n",
    "raw_test_df = pd.read_csv('data/titanic/test.csv')\n",
    "test_df = preprocess_dataset(raw_test_df)\n",
    "print(model.predict_classes(test_df[:10]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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